forked from p04798526/LLaMA-Factory-Mirror
Update parser.py
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@ -38,9 +38,9 @@ class DatasetAttr:
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ranking: bool = False
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# extra configs
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subset: Optional[str] = None
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split: str = "train"
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folder: Optional[str] = None
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num_samples: Optional[int] = None
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split: Optional[str] = "train"
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# common columns
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system: Optional[str] = None
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tools: Optional[str] = None
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@ -72,7 +72,7 @@ class DatasetAttr:
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setattr(self, key, obj.get(key, default))
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def get_dataset_list(data_args: "DataArguments", dataset: "str" = None) -> List["DatasetAttr"]:
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def get_dataset_list(data_args: "DataArguments", dataset: Optional[str]) -> List["DatasetAttr"]:
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if dataset is not None:
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dataset_names = [ds.strip() for ds in dataset.split(",")]
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else:
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@ -121,10 +121,9 @@ def get_dataset_list(data_args: "DataArguments", dataset: "str" = None) -> List[
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dataset_attr.set_attr("formatting", dataset_info[name], default="alpaca")
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dataset_attr.set_attr("ranking", dataset_info[name], default=False)
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dataset_attr.set_attr("subset", dataset_info[name])
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dataset_attr.set_attr("split", dataset_info[name], default="train")
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dataset_attr.set_attr("folder", dataset_info[name])
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dataset_attr.set_attr("num_samples", dataset_info[name])
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if "split" in dataset_info[name]:
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dataset_attr.set_attr("split", dataset_info[name])
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if "columns" in dataset_info[name]:
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column_names = ["system", "tools", "images", "chosen", "rejected", "kto_tag"]
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